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@@ -32,7 +32,7 @@ The model operates on a compact word-level vocabulary for permutation syntax. Tr
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  ## Training Data
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- PermuFormer was trained autoregressively on synthetic permutation examples generated with exact combinatorial algorithms. The paper describes a dataset of 39.8M instances, approximately 2.66B tokens, over the symmetric groups `S_2` through `S_11`.
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  Training tasks cover three broad families:
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  ## Training Data
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+ PermuFormer was trained autoregressively on synthetic permutation examples generated with exact combinatorial algorithms. The paper describes a dataset of 39.8M instances, approximately 2.66B tokens, over the symmetric groups $S_2$ through `S_11`.
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  Training tasks cover three broad families:
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